# smart-cache

> smart-cache — raghulpasupathi-smart-cache. Use this tool when you need to optimize data retrieval and reduce latency by implementing intelligent caching strategies, such as LRU and LFU, with customizable TTL management. It solves problems related to frequent data access, slow query performance, and inefficient resource utilization. The smart-cache tool accepts input data and cache configuration, and outputs cached results, making it ideal for use cases involving high-traffic applications and real-time data processing.

Canonical page: https://skillsregistry.net/skills/raghulpasupathi-smart-cache  
JSON: https://api.skillsregistry.net/v1/skills/raghulpasupathi-smart-cache

## Description

Intelligent caching with LRU/LFU strategies and TTL management.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/raghulpasupathi-smart-cache)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "raghulpasupathi-smart-cache"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raghulpasupathi-smart-cache` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raghulpasupathi-smart-cache/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt